The Lithosphere‐Asthenosphere System Beneath the North Atlantic and Surroundings: Results From Multi‐Observable Probabilistic Inversions by Farshad Salajegheh, Juan Carlos Afonso, Alexander Minakov, Parviz Ajourlou, Carmen Gaina, Olga Ortega‐Gelabert

“…We jointly invert these data sets using a simulation‐based, multi‐observable probabilistic framework. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…Additionally, the feasibility of using the Large Language Model for personal data recognition was explored. The research culminated in the development of a personal data recognition method that combines Artificial Intelligence language model with rule-based algorithms, capable of identifying personal data in structured and unstructured information. …”
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The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach by Lisa Brunetti, Kordula De Kuthy, Arndt Riester

“…In this paper we present an analysis of the information structural properties of different types of verb and sentence modifying adjuncts under a QUD (question under discussion) approach. …”
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Development levels for time planning model ofroad constru ction at design stages by T. V. Bobrova, E. A. Pokalyukhina

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The fault systems that control the occurrences of iron ore deposits in northeastern Aswan, Egypt by Mohamed Abd El-Wahed, Ibrahim A. Salem, Mohamed Attia, Dina Younis

Subjects: “…Multi-sensor remote sensing data…”
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TSC-IBR: A Variant of Interval-Based Memory Reclamation Using CPU’s Time-Stamp Counter by Chen Zhang, Wendong Li, Xinghui Zhu

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Constant-delay enumeration for SLP-compressed documents by Martín Muñoz, Cristian Riveros

Subjects: “…computer science - data structures and algorithms…”
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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

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The Author’s Methodology of Forecasting Election Results on the Basis of Big Data by A. S. Kozin

“…Social networks generate a vast amount of unstructured data due to their use by thousands of users. …”
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Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis by Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira

“…Adversarial attacks are a potential threat to machine learning models by causing incorrect predictions through imperceptible perturbations to the input data. While these attacks have been extensively studied in unstructured data like images, applying them to structured data, such as tabular data, presents new challenges. …”
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Blockchain and Bigdata to Secure Data Using Hash and Salt Techniques by AlSelami Fudhah A.

“…Bigdata technologies helps in storing the unstructured data effectively and processing of such voluminous data is taken care of. …”
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ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYSIS IN CRIME PREVENTION AND COMBAT by George-Marius ȚICAL

“…Machine learning algorithms, neural networks, and natural language processing enable the rapid analysis of unstructured data, enhancing the ability to predict and prevent crimes. …”
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Leveraging hybrid model for accurate sentiment analysis of Twitter data by Naga Surekha Jonnala, A. V. S. Ram Teja, S. Raja Rajeswari, Shaik Jakeer, Allamsetty Dheeraj, Shonak Bansal, Krishna Prakash, Shashank Singh, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…These outcomes underscore the strength of combining Bi-LSTM and Logistic Regression for sentiment analysis, offering a robust framework for analyzing unstructured textual data in social media contexts. This approach demonstrates significant potential for enhancing sentiment classification tasks in the ever-evolving digital landscape.…”
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NLP modeling recommendations for restricted data availability in clinical settings by Fabián Villena, Felipe Bravo-Marquez, Jocelyn Dunstan

“…Abstract Background Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. …”
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Preferential Pathways Inversion From Cross‐Borehole Electrical Data by Léa Lelimouzin, Cédric Champollion, Léa Lévy, Delphine Roubinet

“…This allows identifying newly created narrow conductive structures from the field data collected before and after injection. …”
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Dynamic growth tomato inflorescence modeling with elastic mechanics data by Siyao Liu, Subo Tian, Zhen Zhang, Lingfei Liu, Tianlai Li

“…Therefore, this study proposes a tomato inflorescence modeling method to meet the modeling demands of combining the growth process and elastic mechanics data. With the model promoted in this study, after measuring the size of tomato inflorescence key structures, the growth progress of inflorescence can be predicted, and elastic mechanics data of inflorescence at various sizes can be obtained. …”
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Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…Our approach captures higher-order dependencies and global structural patterns in multimodal data, enhancing the robustness and expressiveness of the representations we learn. …”
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Digital Twin Road: value and implications involving data and application by Pamela Haverkamp, Atul Anantheswar, Marcel May, Gabriele Wadlig, Juliana Hildebrandt, Kira Amelie Thiessat, Ines Wollny, Marzia Traverso, Sabine Müller-Mall, Michael Kaliske, Dirk Habich, Wolfgang Lehner

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Interpretation of airborne radiometric data of flamingo field, Southwestern Nigeria by T. O Lawal, O. Fawale, J. A. Sunday, G. B. Egbeyale

“… The airborne radiometric data of the Flamingo Field, Southwest Nigeria has been analyzed and interpreted with the aim of evaluating the surface geology and structural features that are critical for mineral resource exploration. …”
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Subsystem of information interaction in the system of collecting medical statistical data by Alexander A. Lisnenko, Veronica A. Asmus, Timofey A. Asmus

“…One of the optimization tools is the introduction of electronic medical document management, where each document is presented in the form of a structured electronic medical document. An example of structuring an electronic document for medical statistics is documents structured in accordance with the international standard for the exchange of statistical data and metadata - Statistical data and metadata exchange. …”
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